Software reuse through information retrieval
ACM SIGIR Forum
Retrieving software objects in an example-based programming environment
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 24th International Conference on Software Engineering
Supporting reuse by delivering task-relevant and personalized information
Proceedings of the 24th International Conference on Software Engineering
Using structural context to recommend source code examples
Proceedings of the 27th international conference on Software engineering
Jungloid mining: helping to navigate the API jungle
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Assieme: finding and leveraging implicit references in a web search interface for programmers
Proceedings of the 20th annual ACM symposium on User interface software and technology
A collaborative platform for application knowledge management in software maintenance projects
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
Sourcerer: mining and searching internet-scale software repositories
Data Mining and Knowledge Discovery
IDE 2.0: collective intelligence in software development
Proceedings of the FSE/SDP workshop on Future of software engineering research
A test-driven approach to code search and its application to the reuse of auxiliary functionality
Information and Software Technology
Codewebs: scalable homework search for massive open online programming courses
Proceedings of the 23rd international conference on World wide web
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Software developers often face steep learning curves in using a new framework, library, or new versions of frameworks for developing their piece of software. In large organizations, developers learn and explore use of frameworks, rarely realizing, several peers may have already explored the same. A tool that helps locate samples of code, demonstrating use of frameworks or libraries would provide benefits of reuse, improved code quality and faster development. This paper describes an approach for locating common samples of source code from a repository by providing extensions to an information retrieval system. The approach improves the existing approaches in two ways. First, it provides the scalability of an information retrieval system, supporting search over thousands of source code files of an organization. Second, it provides more specific search on source code by preprocessing source code files and understanding elements of the code as opposed to considering code as plain text.